نتایج جستجو برای: semantic deviation
تعداد نتایج: 178031 فیلتر نتایج به سال:
the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...
Sentences are important semantic units of natural language. A generic, distributional representation of sentences that can capture the latent semantics is beneficial to multiple downstream applications. We observe a simple geometry of sentences – the word representations of a given sentence (on average 10.23 words in all SemEval datasets with a standard deviation 4.84) roughly lie in a low-rank...
The present study tends to investigate the relation between the complexity and semantic distance of Icons and their Effectiveness in searching module of Simorgh, Azarakhsh and Nika applications. Following a correlational survey, the participants of this research consisted of two groups: specialists and end-users. The former consisted of 30 PhD in Knowledge and Information Science, and the latte...
Automatic identification of words with semantic roles (such as Agent, Patient, Source, etc.) in sentences and attaching correct semantic roles to them, may lead to improvement in many natural language processing tasks including information extraction, question answering, text summarization and machine translation. Semantic role labeling systems usually take advantage of syntactic parsing and th...
Perception and Analysis of a Reiterant Speech Paradigm: a Functional Diagnostic of Synthetic Prosody
A set of perception experiments, using reiterant speech, were designed to carry out a diagnostic of the segmentation / hierarchisation linguistic function of prosody. The prosodic parameters of F0, syllabic duration and intensity of the stimuli used during this experiment were extracted. Several dissimilarity measures (Correlation, root-mean-square distance and mutual information) were used to ...
To enable autonomous robotic manipulation in unstructured environments, we present SegICP-DSR, a realtime, dense, semantic scene reconstruction and pose estimation algorithm that achieves mm-level pose accuracy and standard deviation (7.9mm,σ=7.6mm and 1.7 deg, σ=0.7 deg) and successfully identified the object pose in 97% of test cases. This represents a 29% increase in accuracy, and a 14% incr...
A real-time indoor tracking system based on the Viterbi algorithm is developed. This Viterbi principle is used in combination with semantic data to improve the accuracy, that is, the environment of the object that is being tracked and a motion model. The starting point is a fingerprinting technique for which an advanced network planner is used to automatically construct the radio map, avoiding ...
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